搜索结果: 1-15 共查到“测绘科学技术 supervised”相关记录16条 . 查询时间(0.094 秒)
WEAKLY SUPERVISED SEGMENTATION-AIDED CLASSIFICATION OF URBAN SCENES FROM 3D LIDAR POINT CLOUDS
Classification Segmentation Regularization LiDAR Urban Point Cloud Random Forest
2017/7/12
We consider the problem of the semantic classification of 3D LiDAR point clouds obtained from urban scenes when the training set is limited. We propose a non-parametric segmentation model for urban sc...
COMBINED SUPERVISED CLASSIFICATION METHODS IN REMOTE SENSING FOR THE EVALUATION OF FOREST DYNAMICS ALONG THE SLOPES OF MOUNT CAMEROON
Mount Cameroon Remote Sensing Forest cover Lava flow National Advanced School of Engineering
2015/12/29
The Mount Cameroon forests risk being disappeared. This threat results from aspects such as lava destruction, the creation of vast plantations, farms and extension of settlements. Being 4095m high fac...
Semi-Supervised Incremental Learning of Hierarchical Appearance Models
Detection Building Structure, Interpretation Classifi cation Incremental Learning Recognition
2015/12/8
We propose an incremental learning scheme for learning a class hierarchy for objects typically occurring multiple in images. Given oneexample of an object that appears several times in the image, e.g....
Supervised classification of water regions from lidar data in the Wadden Sea using a fuzzy logic concept
lidar laser scanning classification fuzzy logic water
2015/11/10
The Wadden Sea is an almost untouched area with a size of about 7300 km2 along the German, Dutch and Danish coast. Because of tide the area is flooded two times a day, creating a very special and sens...
MEASURING THE QUALTITY OF SAMPLES IN THE SUPERVISED CLASSIFCATION OF REOTELY SENSED IMAGERY
Supervised classification measuring the sample quality rough set
2015/9/28
In the supervised classification process of remotely sensed imagery, the quantity of samples is one of the important factors affecting the accuracy of the image classification as well as the keys used...
A SUPERVISED CLASSIFICATION APPROACH TOWARDS QUALITY SELF-DIAGNOSIS OF 3D BUILDING MODELS USING DIGITAL AERIAL IMAGERY
Quality Self-diagnosis Consistency Image-based measures Performance evaluation Classification 3D City Models
2015/8/31
In the context of 3D building model production or updating, the models have to be manually checked one by one by a human operator in order to ensure their quality. In this paper, we investigate a new ...
A SUPERVISED CLASSIFICATION APPROACH TOWARDS QUALITY SELF-DIAGNOSIS OF 3D BUILDING MODELS USING DIGITAL AERIAL IMAGERY
Quality Self-diagnosis Consistency Image-based measures Performance evaluation Classification 3D City Models
2015/8/28
In the context of 3D building model production or updating, the models have to be manually checked one by one by a human operator in order to ensure their quality. In this paper, we investigate a new ...
SEMI-SUPERVISED CLASSIFICATION OF LAND COVER BASED ON SPECTRAL REFLECTANCE DATA EXTRACTED FROM LISS IV IMAGE
Semi-supervised classification Hyperspectral Reflectance
2015/8/28
A methodology is proposed for extracting information on land cover based on hyperspectral reflectance
data derived from satellite image, without supervising with ground truth. The reflectance percent...
SUPERVISED AND FOREST TYPE-SPECIFIC MULTI-SCALE SEGMENTATION FOR A ONE-LEVEL-REPRESENTATION OF SINGLE TREES
Segmentation LiDAR object-based laser scanning crown delineation region growing OLR region-specific segmentation
2015/8/19
In this paper a supervised approach for the object building / segmentation process utilizing a priori knowledge about the specific scale domain of the target features is proposed. One premise was that...
A SELF-SUPERVISED APPROACH FOR FULLY AUTOMATED URBAN LAND COVER CLASSIFICATION OF HIGH-RESOLUTION SATELLITE IMAGERY
Self-supervised classification high-resolution satellite imagery urban land cover feature extraction
2015/8/3
Commercially available high-resolution satellite imagery from sensors such as IKONOS and QuickBird are important data sources for a variety of urban area applications including infrastructure feature ...
RESPECTING HIERARCHICALLY STRUCTURED TAXONOMIES IN SUPERVISED IMAGE CLASSIFICATION: A GEOLOGICAL CASE STUDY FROM THE WESTERN CANADIAN SHIELD
RESPECTING HIERARCHICALLY STRUCTURED SUPERVISED IMAGE CLASSIFICATION WESTERN CANADIAN SHIELD
2015/3/16
RESPECTING HIERARCHICALLY STRUCTURED TAXONOMIES IN SUPERVISED IMAGE CLASSIFICATION: A GEOLOGICAL CASE STUDY FROM THE WESTERN CANADIAN SHIELD.
ESTIMATING LANDSCAPE PATTERN FROM SUPERVISED AND UNSUPERVISED CLASSIFICATION:STUDIES IN THE WESTERN GHATS,INDIA
Accuracy Classification Ecosystems Interpretation Land use/Land cover Pattern recognition Spatial data Sustainability
2015/2/4
Current research suggests that metrics of landscape pattern can act as indicators of ecological processes and biodiversity
maintenance. Land cover maps, created through remote sensing, enable the eva...
Practical example for use of the supervised vicarious calibration (SVC) method on multisource hyperspectral imagery data – ValCalHyp airborne hyperspectral campaign under the EUFAR framework
Unmixing Feature-extraction L1/2 nonnegative matrix Orthogonal matching pursuit Quantitative target detection Hyperspectral imagery
2014/9/29
A novel approach for radiometric calibration and atmospheric correction of airborne hyperspectral (HRS) data, termed supervised vicarious calibration (SVC) was proposed by Brook and Ben-Dor in 2010. T...
Automatic Building Detection based on Supervised Classification using High Resolution Google Earth Images
Automatic Building Detection Google Earth Imagery Lab color space Shadow detection Supervised classification
2014/9/9
This paper presents a novel approach to detect the buildings by automization of the training area collecting stage for supervised classification. The method based on the fact that a 3d building struct...
A supervised method for object-based 3D building change detection on aerial stereo images
Change detection Aerial images Digital Surface Models Support Vector Machine
2014/9/9
There is a great demand for studying the changes of buildings over time. The current trend for building change detection combines the orthophoto and DSM (Digital Surface Models). The pixel-based chang...